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Data Wrangler Remote Jobs (NOW HIRING)

Eastport Analytics, Inc

Data Scientist

Washington, DC · On-site +1

$103K - $120K/yr

Perform comprehensive data manipulation, wrangling, and exploratory data analysis (EDA) to identify ... Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM ...

Acess Global

MDM Developer -Reltio

Seattle, WA · Remote

Seattle WA 98108 Duration: 12 months (can extend) Open to strong remote candidates. Role: MDM ... Data Wrangling: Experience with data preparation, feature engineering, and data transformation.

ManTech

Senior Data Scientist

Arlington, VA · On-site +1

This role is a remote role preferably in the Washington DC area. As a Data Scientist, you will ... Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... biology data; wrangling, harmonizing, and standardizing biological datasets; implementing ...

Twilio

Principal Software Engineer - Identity Graph

$138K - $185K/yr

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... This foundational platform will synthesize data across multi-cadence sources to provide real-time ...

Twilio

Principal Software Engineer - Identity Graph

$138K - $185K/yr

This foundational platform will synthesize data across multi-cadence sources to provide real-time ... You will take early-stage concepts and POCs, wrangle ambiguity, and actively clarify boundaries to ...

Telnyx

Forward Deployed Engineer (Remote)

... data wrangling experience • DevOps fundamentals (Docker, Kubernetes, CI/CD) • Background in telecom, CPaaS, or high-growth SaaS • Security mindset (IAM, encryption, audit logging) #LI-RH1

New

USAA

Decision Science Analyst Lead

Plano, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging ...

USAA

Decision Science Analyst Lead

San Antonio, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging ...

USAA

Decision Science Analyst Lead

Tampa, FL · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging ...

USAA

Decision Science Analyst Lead

Charlotte, NC · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging ...

USAA

Decision Science Analyst Lead

San Antonio, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging ...

USAA

Decision Science Analyst Lead

Phoenix, AZ · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging ...

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Data Wrangler Remote information

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How much do data wrangler remote jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data wrangler remote in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data wrangler?

Data Wranglers are professionals who specialize in cleaning, organizing, and transforming raw data into a format that is usable for analysis or further processing. They handle tasks such as identifying inconsistencies, dealing with missing values, and converting data from various sources into a standardized format. In remote roles, Data Wranglers use digital tools and platforms to access, process, and manage data from anywhere, collaborating virtually with teams. Their work is crucial for ensuring that data scientists and analysts have reliable, high-quality data for decision-making and insights.

What are the key skills and qualifications needed to thrive as a data wrangler remote?

To thrive as a Data Wrangler (Remote), you need a strong background in data analysis, data cleaning, and proficiency with programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Experience with data management tools such as SQL databases, data visualization platforms, and familiarity with cloud-based systems is typically required. Excellent problem-solving, attention to detail, and effective remote communication skills help professionals excel in this role. These skills ensure that data is accurate, well-organized, and easily accessible for decision-making and analysis in distributed work environments.

What are some common challenges faced by remote data wranglers, and how can they be addressed?

Remote Data Wranglers often encounter challenges such as inconsistent data formats, missing information, and coordinating with distributed teams across different time zones. To address these issues, it's important to establish clear communication channels, utilize collaborative data platforms, and follow standardized data cleaning protocols. Regular check-ins with team members and thorough documentation of data processes can also help ensure data integrity and smooth collaboration, even when working remotely.

What is the difference between Data Wrangler Remote vs Data Analyst?

AspectData Wrangler RemoteData Analyst
Required CredentialsBasic data handling skills, often no formal degree requiredBachelor's degree in related field, some roles prefer certifications
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, regular business hours
Industry UsageData preparation, cleaning, and formatting in various industriesData interpretation, reporting, and insights in multiple sectors
Common Search/ComparisonOften compared for entry-level data rolesMore analytical, reporting-focused roles

While both roles involve working with data, Data Wrangler Remote primarily focuses on cleaning and preparing data for analysis, often in a remote setting. Data Analysts interpret data to generate insights and reports. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

How much do data wranglers make?

Data wranglers, also known as data engineers or data specialists, typically earn between $60,000 and $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with skills in SQL, Python, or cloud platforms can command higher salaries.

What is the job of a Data Wrangler Remote?

A Data Wrangler Remote is responsible for cleaning, organizing, and preparing raw data for analysis, often using tools like SQL, Python, or Excel. The role requires strong attention to detail, data management skills, and the ability to work independently in a remote environment.
More about Data Wrangler Remote jobs

What cities are hiring for Data Wrangler Remote jobs?

Cities with the most Data Wrangler Remote job openings:

What are the most commonly searched types of Data Wrangler jobs?

The most popular types of Data Wrangler jobs are:

What states have the most Data Wrangler Remote jobs?

States with the most job openings for Data Wrangler Remote jobs include:

What job categories do people searching Data Wrangler Remote jobs look for?

The top searched job categories for Data Wrangler Remote jobs are:

Data Wrangler Remote jobs near you
Infographic showing various Data Wrangler Remote job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Eastport Analytics, Inc

Washington, DC • On-site, Remote

$103K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago

Key responsibilities

  • Develop and implement databases and collection systems to acquire data from primary and secondary sources while documenting SQL models for efficient data management.

  • Perform comprehensive data manipulation, wrangling, and exploratory data analysis (EDA) to identify and interpret complex trends within large-scale datasets.

  • Utilize statistical software and modeling techniques to provide synthesized, actionable insights that inform senior leadership and client stakeholder decision-making.

Job description

Job Type
Full-time
Description
At Eastport Analytics, our data subject matter experts, technologists, and domain specialists work directly with financial investigators, auditors, and analysts to modernize data strategies and improve law and tax enforcement. We measure success by our client's mission accomplishments, including higher compliance and improved asset recovery.
As a Data Scientist at Eastport Analytics, you will utilize advanced expertise in SQL and Python to drive innovation and provide actionable insights through high-fidelity data manipulation and complex analysis.
Specific Responsibilities Include:
  • Infrastructure and Data Lifecycle : Develop and implement databases and collection systems to acquire data from primary and secondary sources while documenting SQL models for efficient data management.
  • Advanced Analytics : Perform comprehensive data manipulation, wrangling, and exploratory data analysis (EDA) to identify and interpret complex trends within large-scale datasets.
  • Strategic Decision Support : Utilize statistical software and modeling techniques to provide synthesized, actionable insights that inform senior leadership and client stakeholder decision-making.
  • Storytelling and Communication : Convey complex technical findings to non-technical domain users through advanced data visualization, briefings, and executive-level slide decks.
  • Cross-Functional Collaboration : Partner with the multi-disciplinary teams to extract and translate insights from both structured and unstructured data sources.
  • Project Execution : Manage multiple high-priority projects simultaneously under strict deadlines within a collaborative environment.

Requirements
  • Bachelor's degree in a quantitative field (e.g., Data Science, Applied Mathematics, Statistics); Master's degree or data science boot camp a plus.
  • Two+ years in a data science role; experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred.
  • Advanced proficiency in Python (Pandas, NumPy, Matplotlib) and SQL for architecting and modifying complex code within Relational Database Management Systems (RDBMS).
  • Experience leveraging data warehousing solutions to query and extract insights from high-volume, large-scale datasets.
  • Understanding of descriptive/inferential statistics and regression modeling, with the ability to leverage generative AI, such as LLMs, and agent-based coding to automate workflows.
  • Proficiency in diverse data science technologies (e.g., PyTorch, TensorFlow, Scikit-learn, NLP, R/SAS, Plotly, NoSQL) and data visualization tools such as Power BI and Excel.
  • Experience with Palantir products a plus.
  • Must be able to pass a background investigation to obtain and maintain a Public Trust determination; U.S. Citizenship or Permanent Resident status required.
  • Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM EST) and attend quarterly in-person meetings in the Washington, D.C. area.

Eastport Analytics - Delivering Insight for Over 25 Years
Eastport Analytics partners with Federal agencies to strengthen and evolve mission-critical analytic systems that drive compliance, enforcement, and investigative outcomes. Our specialized analytic expertise, combined with a mission-first approach, ensures agencies extract maximum value from the tools, data, platforms, and processes they rely on today while building the capacity to meet tomorrow's challenges. Working side by side with Federal teams, we deliver practical, sustainable solutions that enhance analytic effectiveness, support core missions, and enable agencies to act with clarity, efficiency, and confidence.
Compensation & Benefits
The estimated base salary for this position is $103,000 to $120,000 (annualized USD). This role is eligible for bonus pay and a competitive benefits package. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained.
Eastport Analytics offers a full suite of benefits to help employees thrive professionally and personally including a balanced work life culture, unlimited PTO and radical flex time, employer funded health reimbursement account (HRA) to cover deductibles for health insurance, employer funded 401K, professional development, an inclusive professional work environment, fun quarterly events, and more.
Equal Opportunity Employer
Eastport Analytics, Inc. is proud to be an equal opportunity employer. We welcome and support all qualified applicants regardless of race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, hair texture or protected hairstyle, veteran status, or genetic information. We are also committed to providing reasonable accommodations during the job application and interview process. To request accommodations, contact: hr@eastportanalytics.com.
Fraud Prevention Notice
IMPORTANT- Eastport Analytics only communicates with candidates using @mail.paylocity.com or @eastportanalytics.com email domains.

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